PropertyLens provides comprehensive home history reports by compiling and analyzing thousands of data points on any given property address. These reports deliver key insights regarding property condition, past damages, maintenance records, and insurability risks. The service empowers homebuyers to make informed decisions, negotiate effectively, and avoid costly, unforeseen post-purchase repairs.
Funding
$2.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Homebuyers often lack comprehensive information about a property's history, potential risks, and hidden issues, leading to unexpected costs and regrets after closing. Traditional methods of property assessment, such as standard inspections, may not uncover all relevant details, leaving buyers vulnerable to making uninformed decisions. This information asymmetry favors sellers, potentially resulting in buyers overpaying for properties with undisclosed problems.
Solution
PropertyLens provides data-driven property reports that aggregate information from various sources, including MLS listings, insurance claims, catastrophic damage records, and service/repair histories, to give buyers a comprehensive understanding of a property's past and potential future. The platform employs AI and machine learning to analyze thousands of data points, uncovering hidden risks and providing insights into property condition, modifications, insurability, and cost of ownership. PropertyLens delivers customized reports with key insights, including a "BuyerLens" of questions to ask the seller, an "InspectorLens" inspection checklist, and an "InsuranceLens" estimate of insurance costs. By offering a detailed property history timeline and risk assessment, PropertyLens empowers buyers to make informed decisions, negotiate effectively, and avoid costly surprises.
Target Audience
PropertyLens primarily targets homebuyers seeking comprehensive property insights to make informed purchasing decisions, as well as homeowners and real estate agents looking to proactively address potential issues and ensure transparent transactions.
Features
- Aggregates property data from MLS listings, insurance claims, damage records, and repair histories
- Employs AI and machine learning to analyze thousands of data points for hidden risks
- Generates a property history timeline, including modifications and renovations
- Assesses property risk, including potential weather threats and insurability concerns
- Estimates cost of ownership, including utilities and upkeep
- Provides a "BuyerLens" with questions to ask the seller based on property history
- Offers an "InspectorLens" inspection checklist for home inspectors
- Delivers an "InsuranceLens" estimate of insurance costs and coverage